The Ultiracer platform is used in published, peer-reviewed clinical research across neurology, biomechanics, and cardiac rehabilitation.
These peer-reviewed papers used the Ultiracer platform as their primary research instrument.
Kim Y, Kim J, Kang S, Lee Y, Moon J, Kim SJ, Kim BJ et al.
CNN model achieved ~86.1% accuracy in early Parkinson’s disease detection using cycling-derived kinetic and kinematic data from the Ultiracer platform.
29 PD patients and 36 healthy controls. Used two 6-axis force-torque sensors (headset spacer and seat post). Input data: 30 seconds of cycling data (force, moment, speed, lateral movement) plus demographic data.
Kang S, Park JW, Kim Y, Moon J, Lee Y, Lee CN, Kim J, Kim SJ, Kim BJ
Multivariate logistic model achieved 91.4% accuracy distinguishing PD patients from controls. Cycling speed showed highest discriminatory power (AUC: 0.880), outperforming standard gait velocity measures.
39 PD patients and 42 age-matched healthy controls. Identified distinct biomechanical adaptations: PD patients showed higher handle-saddle coordination (0.47 vs 0.11), lower self-selected speeds (6.49 vs 10.28 km/h).
Kim BR, Kim YM, Lee JT, Park SB, Shin HS, Jung JS, Kim HJ
No adverse cardiac events were observed. The Ultiracer delivered exercise intensity within the therapeutic range recommended for cardiac rehabilitation in CVD patients.
20 male CVD patients (mean age 56.1). Compared cardiopulmonary responses between treadmill CPET and Ultiracer cycling. Device elicited moderate-to-vigorous intensity exercise.
The Ultiracer’s unique combination of lateral movement capability and high-precision sensor data makes it an ideal research instrument. Its integrated high-precision 9-axis motion sensors with internal fusion capture movement and orientation data at 100Hz, enabling researchers to study balance, coordination, and movement patterns with clinical-grade precision.
Supporting research into Parkinson’s disease detection and monitoring through cycling biomechanics.
Validated as a safe and effective exercise modality for cardiovascular disease patients.
Enabling detailed analysis of balance strategies, force distribution, and movement patterns during cycling.
We actively collaborate with leading research institutions. Our platform has been used in studies at Korea University College of Medicine and Korea University Anam Hospital. If you’re interested in using the Ultiracer platform for clinical research, we’d love to hear from you.
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